The intervention aims at providing sustained help to patients over a two-year period to make positive changes to their lifestyle - to include nutrition, physical exercise and mental wellbeing - via a combination of one-to-one and group sessions.
Adults at risk of developing Type 2 diabetes, with a focus on 40% most deprived population.
Metric 1: Sustained drop in weight, waist, and blood sugars measurement - 6 months threshold. Reductions in Hb1Ac (1.2 mmol), waist size (2 cm), weight (2 kg) 6 months after service user commencement. Engagement demonstrated and measurements taken and recorded by provider.
Metric 2: Sustained drop in weight, waist, and blood sugars measurement - 12 months threshold. Reductions in Hb1Ac (2.4 mmol), waist size (4 cm), weight (3 kg) from baseline 12 months after service user commencement. Engagement demonstrated and measurements taken and recorded by provider.
Metric 3: Sustained drop in weight, waist, and blood sugars measurement- 24 months threshold. Reductions in Hb1Ac (1.2 mmol), waist size (1 cm), weight (1.5 kg) from baseline 24 months after service user commencement. Engagement demonstrated and measurements taken and recorded by provider.
The tool is a collaboration between the Government Outcomes Lab and machine learning experts from the University of Warwick, that allows you to navigate and explore data extracted from nearly 2000 academic and grey literature publications related to outcomes-based contracting.
INDIGO data are shared for research and policy analysis purposes. INDIGO data can be used to support a range of insights, for example, to understand the social outcomes that projects aim to improve, the network of organisations across projects, trends, scales, timelines and summary information. The collaborative system by which we collect, process, and share data is designed to advance data-sharing norms, harmonise data definitions and improve data use. These data are NOT shared for auditing, investment, or legal purposes. Please independently verify any data that you might use in decision making. We provide no guarantees or assurances as to the quality of these data. Data may be inaccurate, incomplete, inconsistent, and/or not current for various reasons: INDIGO is a collaborative and iterative initiative that mostly relies on projects all over the world volunteering to share their data. We have a system for processing information and try to attribute data to named sources, but we do not audit, cross-check, or verify all information provided to us. It takes time and resources to share data, which may not have been included in a project’s budget. Many of the projects are ongoing and timely updates may not be available. Different people may have different interpretations of data items and definitions. Even when data are high quality, interpretation or generalisation to different contexts may not be possible and/or requires additional information and/or expertise. Help us improve our data quality: email us at email@example.com if you have data on new projects, changes or performance updates on current projects, clarifications or corrections on our data, and/or confidentiality or sensitivity notices. Please also give input via the INDIGO Data Definitions Improvement Tool and INDIGO Feedback Questionnaire.